Async¶
Asynchronous programming is a crucial concept when building applications with LLMs (Large Language Models) using Mirascope. This feature allows for efficient handling of I/O-bound operations (e.g., API calls), improving application responsiveness and scalability. Mirascope utilizes the asyncio library to implement asynchronous processing.
Best Practices
- Use asyncio for I/O-bound tasks: Async is most beneficial for I/O-bound operations like API calls. It may not provide significant benefits for CPU-bound tasks.
- Avoid blocking operations: Ensure that you're not using blocking operations within async functions, as this can negate the benefits of asynchronous programming.
- Consider using connection pools: When making many async requests, consider using connection pools to manage and reuse connections efficiently.
- Be mindful of rate limits: While async allows for concurrent requests, be aware of API rate limits and implement appropriate throttling if necessary.
- Use appropriate timeouts: Implement timeouts for async operations to prevent hanging in case of network issues or unresponsive services.
- Test thoroughly: Async code can introduce subtle bugs. Ensure comprehensive testing of your async implementations.
- Leverage async context managers: Use async context managers (async with) for managing resources that require setup and cleanup in async contexts.
Diagram illustrating the flow of asynchronous processing
sequenceDiagram
participant Main as Main Process
participant API1 as API Call 1
participant API2 as API Call 2
participant API3 as API Call 3
Main->>+API1: Send Request
Main->>+API2: Send Request
Main->>+API3: Send Request
API1-->>-Main: Response
API2-->>-Main: Response
API3-->>-Main: Response
Main->>Main: Process All ResponsesKey Terms¶
async: Keyword used to define a function as asynchronousawait: Keyword used to wait for the completion of an asynchronous operationasyncio: Python library that supports asynchronous programming
Basic Usage and Syntax¶
If you haven't already, we recommend first reading the section on Calls
To use async in Mirascope, simply define the function as async and use the await keyword when calling it. Here's a basic example:
import asyncio
from mirascope.core import Messages, openai
@openai.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, anthropic
@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, mistral
@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, gemini
@gemini.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, groq
@groq.call("llama-3.1-70b-versatile")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, litellm
@litellm.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, azure
@azure.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, vertex
@vertex.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, bedrock
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import anthropic, prompt_template
@anthropic.call("claude-3-5-sonnet-20240620")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import bedrock, prompt_template
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, openai
@openai.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, anthropic
@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, mistral
@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, gemini
@gemini.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, groq
@groq.call("llama-3.1-70b-versatile")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, cohere
@cohere.call("command-r-plus")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, litellm
@litellm.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, azure
@azure.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, vertex
@vertex.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, bedrock
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
print(response.content)
asyncio.run(main())
In this example we:
- Define
recommend_bookas an asynchronous function. - Create a
mainfunction that callsrecommend_bookand awaits it. - Use
asyncio.run(main())to start the asynchronous event loop and run the main function.
Parallel Async Calls¶
One of the main benefits of asynchronous programming is the ability to run multiple operations concurrently. Here's an example of making parallel async calls:
import asyncio
from mirascope.core import openai
@openai.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import anthropic
@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import mistral
@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import gemini
@gemini.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import groq
@groq.call("llama-3.1-70b-versatile")
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import cohere
@cohere.call("command-r-plus")
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import litellm
@litellm.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import azure
@azure.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import vertex
@vertex.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import bedrock
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import Messages, openai
@openai.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import Messages, anthropic
@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import Messages, mistral
@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import Messages, gemini
@gemini.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import Messages, groq
@groq.call("llama-3.1-70b-versatile")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import Messages, cohere
@cohere.call("command-r-plus")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import Messages, litellm
@litellm.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import Messages, azure
@azure.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import Messages, vertex
@vertex.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import Messages, bedrock
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import openai, prompt_template
@openai.call(model="gpt-4o-mini")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import anthropic, prompt_template
@anthropic.call("claude-3-5-sonnet-20240620")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import mistral, prompt_template
@mistral.call("mistral-large-latest")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import gemini, prompt_template
@gemini.call("gemini-1.5-flash")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import groq, prompt_template
@groq.call("llama-3.1-70b-versatile")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import cohere, prompt_template
@cohere.call("command-r-plus")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import litellm, prompt_template
@litellm.call(model="gpt-4o-mini")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import azure, prompt_template
@azure.call(model="gpt-4o-mini")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import prompt_template, vertex
@vertex.call("gemini-1.5-flash")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import bedrock, prompt_template
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, openai
@openai.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, anthropic
@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, mistral
@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, gemini
@gemini.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, groq
@groq.call("llama-3.1-70b-versatile")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, cohere
@cohere.call("command-r-plus")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, litellm
@litellm.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, azure
@azure.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, vertex
@vertex.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, bedrock
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
genres = ["fantasy", "scifi", "mystery"]
tasks = [recommend_book(genre) for genre in genres]
results = await asyncio.gather(*tasks)
for genre, response in zip(genres, results):
print(f"({genre}):\n{response.content}\n")
asyncio.run(main())
We are using asyncio.gather to run and await multiple asynchronous tasks concurrently, printing the results for each task one all are completed.
Async Streaming¶
If you haven't already, we recommend first reading the section on Streams
Streaming with async works similarly to synchronous streaming, but you use async for instead of a regular for loop:
import asyncio
from mirascope.core import openai
@openai.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import anthropic
@anthropic.call("claude-3-5-sonnet-20240620", stream=True)
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import mistral
@mistral.call("mistral-large-latest", stream=True)
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import gemini
@gemini.call("gemini-1.5-flash", stream=True)
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import groq
@groq.call("llama-3.1-70b-versatile", stream=True)
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import cohere
@cohere.call("command-r-plus", stream=True)
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import litellm
@litellm.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import azure
@azure.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import vertex
@vertex.call("gemini-1.5-flash", stream=True)
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import bedrock
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", stream=True)
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, openai
@openai.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, anthropic
@anthropic.call("claude-3-5-sonnet-20240620", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, mistral
@mistral.call("mistral-large-latest", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, gemini
@gemini.call("gemini-1.5-flash", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, groq
@groq.call("llama-3.1-70b-versatile", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, cohere
@cohere.call("command-r-plus", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, litellm
@litellm.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, azure
@azure.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, vertex
@vertex.call("gemini-1.5-flash", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import Messages, bedrock
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import openai, prompt_template
@openai.call(model="gpt-4o-mini", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import anthropic, prompt_template
@anthropic.call("claude-3-5-sonnet-20240620", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import mistral, prompt_template
@mistral.call("mistral-large-latest", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import gemini, prompt_template
@gemini.call("gemini-1.5-flash", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import groq, prompt_template
@groq.call("llama-3.1-70b-versatile", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import cohere, prompt_template
@cohere.call("command-r-plus", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import litellm, prompt_template
@litellm.call(model="gpt-4o-mini", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import azure, prompt_template
@azure.call(model="gpt-4o-mini", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import prompt_template, vertex
@vertex.call("gemini-1.5-flash", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import bedrock, prompt_template
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, openai
@openai.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, anthropic
@anthropic.call("claude-3-5-sonnet-20240620", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, mistral
@mistral.call("mistral-large-latest", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, gemini
@gemini.call("gemini-1.5-flash", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, groq
@groq.call("llama-3.1-70b-versatile", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, cohere
@cohere.call("command-r-plus", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, litellm
@litellm.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, azure
@azure.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, vertex
@vertex.call("gemini-1.5-flash", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, bedrock
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
stream = await recommend_book("fantasy")
async for chunk, _ in stream:
print(chunk.content, end="", flush=True)
asyncio.run(main())
Async Tools¶
If you haven't already, we recommend first reading the section on Tools
When using tools asynchronously, you can make the call method of a tool async:
import asyncio
from mirascope.core import BaseTool, openai
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@openai.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, anthropic
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@anthropic.call("claude-3-5-sonnet-20240620", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, mistral
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@mistral.call("mistral-large-latest", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, gemini
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@gemini.call("gemini-1.5-flash", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, groq
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@groq.call("llama-3.1-70b-versatile", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, cohere
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@cohere.call("command-r-plus", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, litellm
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@litellm.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, azure
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@azure.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, vertex
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@vertex.call("gemini-1.5-flash", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, bedrock
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
return f"Recommend a {genre} book"
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, Messages, openai
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@openai.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, Messages, anthropic
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@anthropic.call("claude-3-5-sonnet-20240620", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, Messages, mistral
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@mistral.call("mistral-large-latest", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, Messages, gemini
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@gemini.call("gemini-1.5-flash", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, Messages, groq
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@groq.call("llama-3.1-70b-versatile", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, Messages, cohere
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@cohere.call("command-r-plus", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, Messages, litellm
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@litellm.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, Messages, azure
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@azure.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, Messages, vertex
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@vertex.call("gemini-1.5-flash", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, Messages, bedrock
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, openai, prompt_template
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@openai.call(model="gpt-4o-mini", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, anthropic, prompt_template
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@anthropic.call("claude-3-5-sonnet-20240620", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, mistral, prompt_template
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@mistral.call("mistral-large-latest", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, gemini, prompt_template
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@gemini.call("gemini-1.5-flash", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, groq, prompt_template
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@groq.call("llama-3.1-70b-versatile", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, cohere, prompt_template
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@cohere.call("command-r-plus", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, litellm, prompt_template
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@litellm.call(model="gpt-4o-mini", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, azure, prompt_template
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@azure.call(model="gpt-4o-mini", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, prompt_template, vertex
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@vertex.call("gemini-1.5-flash", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseTool, bedrock, prompt_template
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, BaseTool, openai
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@openai.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, BaseTool, anthropic
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@anthropic.call("claude-3-5-sonnet-20240620", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, BaseTool, mistral
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@mistral.call("mistral-large-latest", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, BaseTool, gemini
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@gemini.call("gemini-1.5-flash", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, BaseTool, groq
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@groq.call("llama-3.1-70b-versatile", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, BaseTool, cohere
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@cohere.call("command-r-plus", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, BaseTool, litellm
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@litellm.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, BaseTool, azure
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@azure.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, BaseTool, vertex
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@vertex.call("gemini-1.5-flash", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
import asyncio
from mirascope.core import BaseMessageParam, BaseTool, bedrock
class FormatBook(BaseTool):
title: str
author: str
async def call(self) -> str:
# Simulating an async API call
await asyncio.sleep(1)
return f"{self.title} by {self.author}"
@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
async def main():
response = await recommend_book("fantasy")
if tool := response.tool:
if isinstance(tool, FormatBook):
output = await tool.call()
print(output)
else:
print(response.content)
asyncio.run(main())
It's important to note that in this example we use isinstance(tool, FormatBook) to ensure the call method can be awaited safely. This also gives us proper type hints and editor support.
Custom Client¶
When using custom clients with async calls, it's crucial to use the asynchronous version of the client. You can provide the async client either through the decorator or dynamic configuration:
Decorator Parameter:
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import azure
@azure.call(
"gpt-4o-mini",
client=AsyncChatCompletionsClient(
endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
),
)
async def recommend_book_async(genre: str) -> str:
return f"Recommend a {genre} book"
import asyncio
from mirascope.core import bedrock
from aiobotocore.session import get_session
async def get_async_client():
session = get_session()
async with session.create_client("bedrock-runtime") as client:
return client
@bedrock.call(
"anthropic.claude-3-haiku-20240307-v1:0", client=asyncio.run(get_async_client())
)
async def recommend_book_async(genre: str) -> str:
return f"Recommend a {genre} book"
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import Messages, azure
@azure.call(
"gpt-4o-mini",
client=AsyncChatCompletionsClient(
endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
),
)
async def recommend_book_async(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
import asyncio
from mirascope.core import Messages, bedrock
from aiobotocore.session import get_session
async def get_async_client():
session = get_session()
async with session.create_client("bedrock-runtime") as client:
return client
@bedrock.call(
"anthropic.claude-3-haiku-20240307-v1:0", client=asyncio.run(get_async_client())
)
async def recommend_book_async(genre: str) -> Messages.Type:
return Messages.User(f"Recommend a {genre} book")
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import azure, prompt_template
@azure.call(
"gpt-4o-mini",
client=AsyncChatCompletionsClient(
endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
),
)
@prompt_template("Recommend a {genre} book")
async def recommend_book_async(genre: str): ...
import asyncio
from mirascope.core import bedrock, prompt_template
from aiobotocore.session import get_session
async def get_async_client():
session = get_session()
async with session.create_client("bedrock-runtime") as client:
return client
@bedrock.call(
"anthropic.claude-3-haiku-20240307-v1:0", client=asyncio.run(get_async_client())
)
@prompt_template("Recommend a {genre} book")
async def recommend_book_async(genre: str): ...
from anthropic import AsyncAnthropic
from mirascope.core import BaseMessageParam, anthropic
@anthropic.call("claude-3-5-sonnet-20240620", client=AsyncAnthropic())
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
from mirascope.core import BaseMessageParam, mistral
from mistralai.async_client import MistralAsyncClient
@mistral.call("mistral-large-latest", client=MistralAsyncClient())
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
from google.generativeai import GenerativeModel
from mirascope.core import BaseMessageParam, gemini
@gemini.call("", client=GenerativeModel(model_name="gemini-1.5-flash"))
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import BaseMessageParam, azure
@azure.call(
"gpt-4o-mini",
client=AsyncChatCompletionsClient(
endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
),
)
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
from mirascope.core import BaseMessageParam, vertex
from vertexai.generative_models import GenerativeModel
@vertex.call("", client=GenerativeModel(model_name="gemini-1.5-flash"))
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
import asyncio
from mirascope.core import BaseMessageParam, bedrock
from aiobotocore.session import get_session
async def get_async_client():
session = get_session()
async with session.create_client("bedrock-runtime") as client:
return client
@bedrock.call(
"anthropic.claude-3-haiku-20240307-v1:0", client=asyncio.run(get_async_client())
)
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
Dynamic Configuration:
from anthropic import AsyncAnthropic
from mirascope.core import anthropic, Messages
@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> anthropic.AsyncAnthropicDynamicConfig:
return {
"messages": [Messages.User(f"Recommend a {genre} book")],
"client": AsyncAnthropic(),
}
from mirascope.core import mistral, Messages
from mistralai.async_client import MistralAsyncClient
@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> mistral.AsyncMistralDynamicConfig:
return {
"messages": [Messages.User(f"Recommend a {genre} book")],
"client": MistralAsyncClient(),
}
from google.generativeai import GenerativeModel
from mirascope.core import gemini, Messages
@gemini.call("")
async def recommend_book(genre: str) -> gemini.GeminiDynamicConfig:
return {
"messages": [Messages.User(f"Recommend a {genre} book")],
"client": GenerativeModel(model_name="gemini-1.5-flash"),
}
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import azure, Messages
@azure.call("gpt-4o-mini")
async def recommend_book(genre: str) -> azure.AsyncAzureDynamicConfig:
return {
"messages": [Messages.User(f"Recommend a {genre} book")],
"client": AsyncChatCompletionsClient(
endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
),
}
from mirascope.core import vertex, Messages
from vertexai.generative_models import GenerativeModel
@vertex.call("")
def recommend_book(genre: str) -> vertex.VertexDynamicConfig:
return {
"messages": [Messages.User(f"Recommend a {genre} book")],
"client": GenerativeModel(model_name="gemini-1.5-flash"),
}
from mirascope.core import bedrock, Messages
from aiobotocore.session import get_session
async def get_async_client():
session = get_session()
async with session.create_client("bedrock-runtime") as client:
return client
@bedrock.call("anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> bedrock.AsyncBedrockDynamicConfig:
return {
"messages": [Messages.User(f"Recommend a {genre} book")],
"client": await get_async_client(),
}
from anthropic import AsyncAnthropic
from mirascope.core import Messages, anthropic
@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> anthropic.AsyncAnthropicDynamicConfig:
return {
"messages": [Messages.User(f"Recommend a {genre} book")],
"client": AsyncAnthropic(),
}
from mirascope.core import Messages, mistral
from mistralai.async_client import MistralAsyncClient
@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> mistral.AsyncMistralDynamicConfig:
return {
"messages": [Messages.User(f"Recommend a {genre} book")],
"client": MistralAsyncClient(),
}
from google.generativeai import GenerativeModel
from mirascope.core import Messages, gemini
@gemini.call("")
async def recommend_book(genre: str) -> gemini.GeminiDynamicConfig:
return {
"messages": [Messages.User(f"Recommend a {genre} book")],
"client": GenerativeModel(model_name="gemini-1.5-flash"),
}
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import Messages, azure
@azure.call("gpt-4o-mini")
async def recommend_book(genre: str) -> azure.AsyncAzureDynamicConfig:
return {
"messages": [Messages.User(f"Recommend a {genre} book")],
"client": AsyncChatCompletionsClient(
endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
),
}
from mirascope.core import Messages, vertex
from vertexai.generative_models import GenerativeModel
@vertex.call("")
def recommend_book(genre: str) -> vertex.VertexDynamicConfig:
return {
"messages": [Messages.User(f"Recommend a {genre} book")],
"client": GenerativeModel(model_name="gemini-1.5-flash"),
}
from mirascope.core import bedrock, Messages
from aiobotocore.session import get_session
async def get_async_client():
session = get_session()
async with session.create_client("bedrock-runtime") as client:
return client
@bedrock.call("anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> bedrock.AsyncBedrockDynamicConfig:
return {
"messages": [Messages.User(f"Recommend a {genre} book")],
"client": await get_async_client(),
}
from mirascope.core import mistral, prompt_template
from mistralai.async_client import MistralAsyncClient
@mistral.call("mistral-large-latest")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str) -> mistral.AsyncMistralDynamicConfig:
return {
"client": MistralAsyncClient(),
}
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import azure, prompt_template
@azure.call("gpt-4o-mini")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str) -> azure.AsyncAzureDynamicConfig:
return {
"client": AsyncChatCompletionsClient(
endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
),
}
from mirascope.core import bedrock, prompt_template
from aiobotocore.session import get_session
async def get_async_client():
session = get_session()
async with session.create_client("bedrock-runtime") as client:
return client
@bedrock.call("anthropic.claude-3-haiku-20240307-v1:0")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str) -> bedrock.AsyncBedrockDynamicConfig:
return {
"client": await get_async_client(),
}
from mirascope.core import BaseMessageParam, openai
from openai import AsyncOpenAI
@openai.call("gpt-4o-mini")
async def recommend_book(genre: str) -> openai.AsyncOpenAIDynamicConfig:
return {
"messages": [
BaseMessageParam(role="user", content=f"Recommend a {genre} book")
],
"client": AsyncOpenAI(),
}
from anthropic import AsyncAnthropic
from mirascope.core import BaseMessageParam, anthropic
@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> anthropic.AsyncAnthropicDynamicConfig:
return {
"messages": [
BaseMessageParam(role="user", content=f"Recommend a {genre} book")
],
"client": AsyncAnthropic(),
}
from mirascope.core import BaseMessageParam, mistral
from mistralai.async_client import MistralAsyncClient
@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> mistral.AsyncMistralDynamicConfig:
return {
"messages": [
BaseMessageParam(role="user", content=f"Recommend a {genre} book")
],
"client": MistralAsyncClient(),
}
from google.generativeai import GenerativeModel
from mirascope.core import BaseMessageParam, gemini
@gemini.call("")
async def recommend_book(genre: str) -> gemini.GeminiDynamicConfig:
return {
"messages": [
BaseMessageParam(role="user", content=f"Recommend a {genre} book")
],
"client": GenerativeModel(model_name="gemini-1.5-flash"),
}
from cohere import AsyncClient
from mirascope.core import BaseMessageParam, cohere
@cohere.call("command-r-plus")
async def recommend_book(genre: str) -> cohere.AsyncCohereDynamicConfig:
return {
"messages": [
BaseMessageParam(role="user", content=f"Recommend a {genre} book")
],
"client": AsyncClient(),
}
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import BaseMessageParam, azure
@azure.call("gpt-4o-mini")
async def recommend_book(genre: str) -> azure.AsyncAzureDynamicConfig:
return {
"messages": [
BaseMessageParam(role="user", content=f"Recommend a {genre} book")
],
"client": AsyncChatCompletionsClient(
endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
),
}
from mirascope.core import BaseMessageParam, vertex
from vertexai.generative_models import GenerativeModel
@vertex.call("")
def recommend_book(genre: str) -> vertex.VertexDynamicConfig:
return {
"messages": [
BaseMessageParam(role="user", content=f"Recommend a {genre} book")
],
"client": GenerativeModel(model_name="gemini-1.5-flash"),
}
from mirascope.core import BaseMessageParam, bedrock
from aiobotocore.session import get_session
async def get_async_client():
session = get_session()
async with session.create_client("bedrock-runtime") as client:
return client
@bedrock.call("anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> bedrock.AsyncBedrockDynamicConfig:
return {
"messages": [
BaseMessageParam(role="user", content=f"Recommend a {genre} book")
],
"client": await get_async_client(),
}
Synchronous vs Asynchronous Clients
Make sure to use the appropriate asynchronous client class (e.g., AsyncOpenAI instead of OpenAI) when working with async functions. Using a synchronous client in an async context can lead to blocking operations that defeat the purpose of async programming.
Next Steps¶
By leveraging these async features in Mirascope, you can build more efficient and responsive applications, especially when working with multiple LLM calls or other I/O-bound operations.
This section concludes the core functionality Mirascope supports. If you haven't already, we recommend taking a look at any previous sections you've missed to learn about what you can do with Mirascope.
You can also check out the section on Provider-Specific Features to learn about how to use features that only certain providers support, such as OpenAI's structured outputs.